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We have been experiencing how this works in the form of virtual assistants like Siri, Alexa,
                 and Chatbots. Generally, AI models have two kinds of approaches:



                   Rule Based Approach

                 A  rule-based  system  uses  rules  as  knowledge  representation.  These  rules  are  coded  in

                 the  system in the  form of if-then-else  statements which  help  the  computer  in taking
                 decisions. The idea behind a rule-based system is to use the knowledge of a human expert                   INTELLIGENCE AND AI APPROACHES
                 in a specialised domain and embody it within the computer system. For example, a system is

                 developed to identify emails by finding keywords. If this system finds an email containing
                 the word "bill" or "invoice", it forwards the email to the accounts department.


                   Learning Based Approach


                 A  computer  system  that  achieves  AI  through  a  machine  learning  technique  is  called  a         145
                 learning-based approach. This approach is often referred to as a black box, as it is not

                 entirely clear how these systems take decisions. This is a major problem for applications
                 when it comes to making a decision for investment, medical, or military reasons, as this
                 approach remains unreliable.


                 Machine learning is a way of achieving AI. Machine learning, a branch of AI, relies on the
                 concept of building machines capable of processing data and self-learning. Machine learning
                 is a subset of AI.



                                                                                                  21 st   #Information Literacy
                      Warm             1. What is intelligence?                                Century
                                                                                                 Skills
                      Up!                 a.  The ability to solve math problems



                                          b.  The capacity to learn, reason, and solve problems

                                       2. Which of the following is an example of existential intelligence?

                                          a.  Solving a complex puzzle

                                          b.  Look at things from different point of view

                                       3. What is the primary goal of Artificial Intelligence (AI)?

                                          a.  To replace humans in all tasks

                                          b.  To create machines that can simulate human intelligence
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